My main research is in computational
vision, natural and artificial. To interpret visual scenes, our brains rely on
complex computations across a number of hierarchical levels. In particular,
when interpreting images that are locally ambiguous -- as is most often the
case -- our brains bring high-level knowledge to bear on low-level tasks such
as image segmentation. In collaboration with neuroscientists, I investigate the
neural mechanisms underlying such computations. In collaboration with applied
mathematicians, I investigategenerative compositionalhierarchical models inspired by my work
in theoretical neuroscience.

COMPUTATIONAL LINGUISTICS

I have recently begun to work in computational
linguistics, focusing on the task of unsupervised learning of part-of-speech
tags.